Data Scientist vs Data Analyst vs Data Engineer | Difference and Average Salary Explained

Data Scientist vs Data Analyst vs Data Engineer | Difference and Average Salary Explained

Data Scientist vs Data Analyst vs Data Engineer | Difference and Average Salary Explained

You will be introduced to the three general job titles that fall under the umbrella term “Data Analyst.” In a nutshell, a data analyst uses data from a variety of sources to answer questions and solve problems.

Underneath each job title are detailed descriptions of what employees in those jobs do on a day-to-day basis, their average salaries for each job title, and some helpful resources for those looking for more information about any of the three roles mentioned in this article.

Data Analyst

Data analysts deliver value to their companies by taking data, using it to answer questions, and communicating the results to help make business decisions. These professionals can work in various industries and use a wide range of tools and skills, but the primary focus of their job is the same across all industries: produce valuable insights that can be used to make better decisions based on data. 

For example, data analyst jobs might involve analyzing survey responses or organizing and analyzing financial records. The education requirements vary by employer but generally include an undergraduate degree in statistics, mathematics, or a related field. 

For some employers, prior experience with databases or statistical software is also mandatory. Therefore, in addition to a bachelor’s degree, employers often look for data analysts with a master’s degree (usually in business or economics) and valuable industry experience.

Data Analyst Responsibilities

Data analyst responsibilities vary by industry but often include:

  • Categorizing and analyzing raw data.
  • Creating dashboards to visualize the results.
  • Producing written reports for others in their organization. 

These professionals must have excellent communication skills and strong quantitative analysis skills. Some positions may require specific statistical training, such as knowledge of the analysis software SAS or SPSS software. Data analysts may also be responsible for preparing data for business intelligence tools or creating predictive models based on historical trends or previous information. Individuals in these positions may also be responsible for maintaining databases and data collection methods.

Data Analyst Average Salary

According to reports, the national average salary for a data analyst is $77,010 per year; however, this figure varies widely by industry. For example, the top-paying industry for this position is an oil and gas company where annual earnings are over $100,000. 

You can see how the national average salary compares to those of state governments and nonprofits here. Data analysts with more experience or education can earn substantially higher salaries than their peers with less experience or education. 

Data analysts working in research and development tend to earn more than their counterparts employed in other industries because they require more specialized skills and responsibilities.

Data Scientist

One of the most important roles in data science is that a data scientist. As a profession, data scientists are still relatively new but have already made some very powerful impacts. 

Data scientists focus on answering these questions by finding patterns in the past, present, and future of something to predict what will happen next.

These days many companies place a high priority on hiring a skilled data scientist, so it’s important to learn what this role entails before moving on. A data scientist can expect to be proficient in many different areas such as programming, statistics, business knowledge, statistics, and the ability to find patterns in data.

Data Scientist Responsibilities

Data scientists work with large amounts of data to extract value. This is done by finding trends and creating new insights that can be used throughout the company. Data scientists also work with companies to help them make better decisions by identifying what will happen next in the future under certain circumstances. 

Data scientists can do this because they understand how things are connected and how they change over time. Then, they take their understanding and translate it into a story that makes sense. 

A data scientist needs to understand the data and needs to be able to articulate why certain decisions are made from a business standpoint. Therefore, an essential skill for a data scientist is the ability to tell a story with the data, and one of the most important things they will need to learn is how to communicate their findings.

There are many skills needed by someone who wants to be a successful data scientist, but some stand out as being more important than others. 

For someone’s decision-making skills to be effective, they must have programming knowledge. Data scientists should be able to ask good questions and analyze what they find to use in their work.

Data Scientist Average Salary

 According to reports, the average salary of a data scientist starts anywhere from $85,000 per year. However, the starting salary can vary according to the company, location, and demand for a job in the market.  

As this field is scarce and not many people know about it, there is a very specific audience for data scientists, which will be in huge demand in the future. Hopefully, the demand and salary will increase in upcoming years. 

 Data Engineer

A data engineer sets the stage for a variety of data activities. For example, a Data Engineer is in charge of creating the format that data scientists and analysts will use. Data engineers must deal with both structured and unstructured information. 

Data Engineer Responsibilities

Data engineers have to be experts in SQL and NoSQL databases and operating systems to work effectively. Big Data processing, analytical tools, and Hadoop are other skills needed for a data engineer position. Networking, administration, machine learning, and reporting tools are other skills that the job requires of the candidate.

Data Engineer Average Salary

As a result, they require knowledge of both SQL and NoSQL databases. Data engineers enable data scientists to complete their tasks. Wherever they work, Data Engineers must deal with Big Data. A data engineer’s annual salary might reach $90,8390.